Results 31 to 40 of about 21,806 (260)

ETEA: A euclidean minimum spanning tree-Based evolutionary algorithm for multiobjective optimization [PDF]

, 2013
© the Massachusetts Institute of TechnologyAbstract The Euclidean minimum spanning tree (EMST), widely used in a variety of domains, is a minimum spanning tree of a set of points in the space, where the edge weight between each pair of points is their ...
Yang, S, Li, Miqing; id_orcid, Liu, X, Li, M, Zheng, Jinhua, Li, Miqing, Yang, Shengxiang, Zheng, J, Liu, Xiaohui   +8 more
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Multiobjective optimization of a gas pipeline network: an ant colony approach

Journal of Petroleum Exploration and Production Technology, 2017
Optimization problems in gas pipeline transportation involve numerous variables, multiple objectives and many complex linear–nonlinear equality and inequality constraints.
Adarsh Kumar Arya, Shrihari Honwad
doaj   +1 more source

Discrete Multiobjective Optimization [PDF]

, 2009
Multiple objective combinatorial optimization(MOCO) has become a quickly growing field in multiple objective optimization, and has recently attracted the attention of researchers both from the fields of multiple objective optimization and from single objective integer programming.
openaire   +1 more source

An Introduction to Multiobjective Simulation Optimization [PDF]

ACM Transactions on Modeling and Computer Simulation, 2019
The multiobjective simulation optimization (MOSO) problem is a nonlinear multiobjective optimization problem in which multiple simultaneous and conflicting objective functions can only be observed with stochastic error. We provide an introduction to MOSO at the advanced tutorial level, aimed at researchers and practitioners who wish to begin working in
Susan R. Hunter, Eric A. Applegate, Viplove Arora, Bryan Chong, Kyle Cooper, Oscar Rincón-Guevara, Carolina Vivas-Valencia   +6 more
openaire   +1 more source

09041 Abstracts Collection – Hybrid and Robust Approaches to Multiobjective Optimization [PDF]

, 2009
The seminar "Hybrid and Robust Approaches to Multiobjective Optimization" was a sequel to two previous Dagstuhl seminars (04461 in 2004 and 06501 in 2006).
Zitzler, Eckart, Miettinen, Kaisa, Greco, Salvatore, Deb, Kalyanmoy   +3 more
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Multiobjective Optimization Management of Construction Engineering Based on Ant Colony Algorithm

Journal of Control Science and Engineering, 2022
In order to solve the problems of extensive management, the construction stage often faces the extension of construction period, excessive cost, and large amount of carbon emission and this paper proposes a multiobjective optimization management method ...
Xuejie Liang
doaj   +1 more source

Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks [PDF]

, 2007
Congress on Evolutionary Computation. Singapore, 25-28 September 2007A mobile adhoc network (MANETs) is a self-configuring network of mobile routers (and associated hosts).
A. Cervantes, Luque, Cristóbal, P Isasi, R. Perez-Perez, Luque del Arco Calderón, Cristobal, Cervantes Rovira, Alejandro, Pérez, Ramón, C. Luque, Cervantes, Alejandro, Isasi, Pedro, Isasi Viñuela, Pedro   +10 more
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System optimization by multiobjective genetic algorithms and analysis of the coupling between variables, constraints and objectives [PDF]

, 2005
This paper presents a methodology based on Multiobjective Genetic Algorithms (MOGA’s) for the design of electrical engineering systems. MOGA’s allow to optimize multiple heterogeneous criteria in complex systems, but also simplify couplings and ...
Régnier, Jérémi, B. Sareni, Sareni, Bruno, Roboam, Xavier, X. Roboam, J. Régnier   +5 more
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Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

Advanced Robotics Research, EarlyView.
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley   +1 more source

Multiobjective gas turbine engine controller design using genetic algorithms

, 1996
This paper describes the use of multiobjective genetic algorithms (MOGAs) in the design of a multivariable control system for a gas turbine engine. The mechanisms employed to facilitate multiobjective search with the genetic algorithm are described with ...
Fleming, P., Chipperfield, Andrew
core   +1 more source